{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import h5py\n",
    "import os\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "import scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_files(file_dir):\n",
    "    images=[]\n",
    "    infrareds=[]\n",
    "    depths=[]\n",
    "    for file in os.listdir(file_dir+'/2d_finish/'):\n",
    "        images.append(file_dir+'/2d_finish/'+file)\n",
    "    for file in os.listdir(file_dir+'/ir_finish/'):\n",
    "        infrareds.append(file_dir+'/ir_finish/'+file)\n",
    "    for file in os.listdir(file_dir+'/depth_complete/seq01/'):\n",
    "        depths.append(file_dir+'/depth_complete/seq01/'+file)\n",
    "    images_list=np.hstack((images))\n",
    "    infrareds_list=np.hstack((infrareds))\n",
    "    depths_list=np.hstack((depths))\n",
    "    return images_list,infrareds_list,depths_list    \n",
    "\n",
    "def np_pic(images_list,infrareds_list,depths_list):\n",
    "    Train_image =  np.random.rand(len(images_list), 256, 512, 3).astype('float32')\n",
    "    Train_infrared =  np.random.rand(len(infrareds_list), 256, 512, 3).astype('float32')\n",
    "    Train_depth =  np.random.rand(len(depths_list), 256, 512).astype('float32')\n",
    "    for i in range(len(infrareds_list)):        \n",
    "        Train_image[i] = np.array(Image.open(images_list[i]))\n",
    "        Train_image[i] = Train_image[i]/255\n",
    "        Train_infrared[i] = np.array(Image.open(infrareds_list[i]))\n",
    "        Train_infrared[i] = Train_infrared[i]/255\n",
    "        Train_depth[i] = np.array(Image.open(depths_list[i]))\n",
    "        Train_depth[i] = np.floor((Train_depth[i]-np.min(Train_depth[i]))/(np.max(Train_depth[i])-np.min(Train_depth[i])+1)*32)\n",
    "    return Train_image,Train_infrared,Train_depth\n",
    "\n",
    "def write(file_name,Train_image,Train_infrared, Train_depth):\n",
    "    with h5py.File(file_name, 'w') as f:\n",
    "        f.create_dataset('images',data=Train_image)\n",
    "        f.create_dataset('infrareds',data=Train_infrared)\n",
    "        f.create_dataset('depths',data=Train_depth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_dir='D:/剪裁好的数据'\n",
    "images_list,infrareds_list,depths_list=get_files(train_dir)\n",
    "#infrareds_list,depths_list=get_files(train_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12,)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths_list.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  31 3217 3732 ... 2693 4604 1387]\n"
     ]
    }
   ],
   "source": [
    "index=np.arange(infrareds_list.shape[0])\n",
    "np.random.shuffle(index)\n",
    "print(index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['C:/complete/infrareds/seq01/IR_01263038.jpg',\n",
       "       'C:/complete/infrareds/seq01/IR_01281097.jpg',\n",
       "       'C:/complete/infrareds/seq01/IR_01283982.jpg', ...,\n",
       "       'C:/complete/infrareds/seq01/IR_01278169.jpg',\n",
       "       'C:/complete/infrareds/seq01/IR_01290010.jpg',\n",
       "       'C:/complete/infrareds/seq01/IR_01270818.jpg'], dtype='<U43')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infrareds_list=infrareds_list[index]\n",
    "infrareds_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100525.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100530.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100536.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100541.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100546.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100551.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100557.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100562.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100567.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100572.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100577.png',\n",
       "       'D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100583.png'],\n",
       "      dtype='<U58')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#depths_list=depths_list[index]\n",
    "depths_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['C:/complete/images/seq01/RGB_01263038.jpg',\n",
       "       'C:/complete/images/seq01/RGB_01281097.jpg',\n",
       "       'C:/complete/images/seq01/RGB_01283982.jpg', ...,\n",
       "       'C:/complete/images/seq01/RGB_01278169.jpg',\n",
       "       'C:/complete/images/seq01/RGB_01290010.jpg',\n",
       "       'C:/complete/images/seq01/RGB_01270818.jpg'], dtype='<U41')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images_list=images_list[index]\n",
    "images_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D:/剪裁好的数据/depth_complete/seq01/depth_complete_00100557.png\n"
     ]
    }
   ],
   "source": [
    "print(depths_list[6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "image_list=images_list[6:7]\n",
    "infrared_list=infrareds_list[6:7]\n",
    "depth_list=depths_list[6:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Train_image,Train_infrared,Train_depth=np_pic(image_list,infrared_list,depth_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "write('3.h5',Train_image,Train_infrared, Train_depth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def read_hdf5(file_name):\n",
    "    with h5py.File(file_name, 'r') as f:\n",
    "        images = np.asarray(f['images'])\n",
    "        infrareds = np.asarray(f['infrareds'])\n",
    "        depths = np.asarray(f['depths'])\n",
    "    return images,infrareds, depths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "images,infrareds, depths = read_hdf5('3.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 13.,  13.,  13., ...,   7.,   7.,   7.],\n",
       "       [ 13.,  13.,  13., ...,   7.,   7.,   7.],\n",
       "       [ 13.,  13.,  13., ...,   7.,   7.,   7.],\n",
       "       ..., \n",
       "       [  2.,   2.,   2., ...,   0.,   0.,   0.],\n",
       "       [  2.,   2.,   2., ...,   0.,   0.,   0.],\n",
       "       [  2.,   2.,   2., ...,   0.,   0.,   0.]], dtype=float32)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=depths[0]\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Pyk2x17EJv288/VJjQywdB2d25Xu8U1M4Xwd6JyUOyBI66Yt+zMoyouyTS7sVNoaRqey6\nAYLPrY8T5p4NhKL1ePepc+GSDfEBVQUNnJoYoR9l8kbFuCz5vPi8TeiuFZtvvVprYamxwcv6jiz7\nRm9ecX17HrK4avKgD9SaVLH3JW+nq6vTux8f/nR9pef3NKhR41nxHTzV8kyZXOTo2JHw0df27VOX\nvrfXR19dJOsIUF04dd+3aUkXbclnweaX5x9kVt+8Drtz6vPlaKQt++pd8Pn0aB990hGbj94l8i4f\nug5bX4uL05idtTlw4iSlOXD55l1+ZNskGRwpwrHfp5sbY755Mwpp9rJFZ9smRfBtFr15bfvB7PTm\nY5p+fFPwk1w4WdIWA+lpzYsI+GCffG2hG6c/+9wqLuytYOOxVmTJnzsQ3Ht7/7n7+3nup6rY+ngJ\nL10b3J+zz5RxYb/CrofiA6gqy+5R62Plo6eOXYzbdbsbxOygNX3iZr1hkOa+yZKx0oaeTsEWZgb0\nWvD6uitjJVv0+ijYDbPNwF/vSFHgIk3k0/LYJImqzRf/RGMfdle6Ij3fmo0N8jHFZ+8Vp6L2z162\n6HzzWO987XjguvnhPc/0rPPy5loDP7brCfzNidfgQy+7B19cvD52vW0dtSY+fnogMCCSYAGvne36\n6ptbKEpvED0IEkQ+Fi2XkGqhXQem5wmzz3U7Sy/srUSRNhf3BPfl5sPBvbfw8uApw26buWebmHuW\nO2Qb2PZUEE7JA6h0+sleORIWvSvqpkj6Da30OXbam4VOXqs+irzhkbKL1chf75uRMhbJY1jz+gxT\nNqbr3U6xT1z1FwCA//LMz8fqmBb91dtP4OnTu6LtV28/gefPb4nWbYJuvt6nWfQ2Sx5wW/MAIou+\nunM5Gi9gflfA/kAad8s+yaLX+a1dDwIAfu/ELYnH+61dD6bWMdH/FzpJ0Td65A2nvN743XhfVe2s\niqJbXCNd+8U2+rbcUNh4rIXFy6uYfW4VL76xgm3fDvT1zOuC9sweDOqePwBseUbh7FWELc/0jp7V\n3TZs0duE/uvqHi+LfiSE3uW60Yc2m8P99TomNmFda+veFP88FnyS0LPrRnfhsGCZsIDxNjP1QVQv\nZdCS7rZJctmk4ZOR0jVAqiihf+bJfTErPpobd7EaXS8Rejs2q9zc98rpeQDdVMYu182VG0/EZqkC\n/IV+6z/UcObGFuZ2nceFg1u8XDe+Qj89Hzws+FPHFPnmHLDzscDwOnldFdPzCpWGwsYXV3DhkqC9\nHE3DFj0QT4nA4ZVZk5f5um5GQuj7seijQQtDCKWcnufYWBUr09eB/uPnTVwTh2c6hiby+mAptuQ5\ntBIIXDdAXPjYmueIG10MbYLv44e3wR2hcxuWYyLPrpsnGvvwmvoLUf35VtfXros8ABy8ELxV8NuE\nLhw20h5saW0fZVxRN7pgP3Z6H+591Z/jbU/9ZwDAZZvOAkDsbeyyTWdj6wxfF85DZGL66H2nFjT/\nDy8+vw3ULEUT7rAecBw7u27OH0C03XTLAL2jXJl2XWHTYUSunw2L3bBNk/MHgD3/r4XKchsLL69Z\nUxCb4ZMs7pyxkrH55fux6EfCRz/JFJ2Hxkfk0yJ18qQkTrJu08ibU75I2JJ0RXtw57P+VuMbXTRJ\nZE0NUXRSuDyTwBcdcZOWDsGXVp28pwosOv+8ydhb9KNCnuyRSZhi7RRnLa4+ae5X2/5ZE5Dp/nmX\nJXuuWcexk3PRW4K+zNbfZZvOYmFlKrIqfcTCNSKWXQRZom2+9/D+qE5p/0V0jgQPgfbu4B+YNPp3\nUtw4eZKPZfk/mdjcQtuqF3Hwwq7YcZMyWALx0bH8e9/2UKUn1QF3wJqkibcrUof98BwjD3TTHHAe\nmwt7A2NB97/vuz844AtvDk7M/vizVxF2PN6JXDWcudLapqVVtKftUwlOrEVvC600J9YwKSLPjQ3d\ndaOfg+e05HMD2UIrbZgiPnUk+LGxf96MktFha5WjYNKiFnw4fm4z9mw+h+Pn4tPLzdRWYtE2uluI\nX/H5xva1Bm3iwal0dbcNELhudlcWYy4ck12vPRFz27DAAwAWq1idzfYQnKQ4e34Qm53laZY219Fd\nbTo2H/1jp/dF7iDzd+SCH7wLizVUFipoT3WweCVQasYjamwin3jc+V6Dl90+PHkJEIj5zHyYr2au\nFJWxH396Poj4adWBTYcR+ehZ4Nl1U2n0Rta4xL49nX9gJNOX0BPRYQDnAbQBtJRS1xPRVgBfAHAA\nwGEAP6OUOpt0HFVKFmnbOvva9O1JHbOD6Iw1ffF6egYWfjM1gY/Y+/jnzdmq9MFVriRiLGwsYjtm\nL+DU4sYo0gYIfJ46HFppPjxmaiv40MvuAQC8//tvB9C1xmxWr27Nm/Tz+s8jYXWLPknkUwmjmTjM\n1Nd9M25i77rmm2sNLKxM9XwXn++W5GPn/hEdfrMDgD2bz/XsZ/b1mLluWnOtVFemngbBDK+MHXt3\nb1ltAZqAd9MavHRVOSzT++ZUFDIJdMWMhf3YzfzduiNfffzyQNeixw2v6d340D3WfUyKsOjfqJQ6\nra3fBeB+pdQHieiucP3Xkw7giqNPImkqMfOhMayBU7ZEZj4kjYiNRcxooZWuSBrAbZ2eWtyI6fpK\nLJTSFHRXGdAVeMa0/HS3zfPnt0QiUhR6hsUsHPveDsxethi5bMoIrXq+nga62Ns6BJlxE/usJFn1\n+vdOSinNLpysfQFLjQ3Ycl/3TfTEf2hj1z+UcfYqQqfWTUMwc7wTxa4DccteT1VgTvptwq6ampbU\nlV0zLPCmy0aPkV94eQ1zzzYji57j6E2ffe1MA81tddTOdK9Ze7qK8tJqbB0A8K0nehvqySBcN7cB\nuCVc/jSAB5Ei9HkxRd5HVAcdT88M6hyRBdMsoT5fBrTwSiBw4biEGbCnHbANK/eBX7fZhaPnJJmp\nrfSkPh4Utqgbn4FSG68823XfNCtWkV8PuATcx2VjO4a+Hz/cWezNzJb8cHS5bvTf5dmfCFyC/IZ5\n9ieCsNjycimy1tu18M3ZcgvYEprZ6vFbgO6y0akvBKJ95lVdl4qesfLYzXVMzyscu7keCTzQK/L1\nM6tobguuk+meMdd14c9Dv0KvAPw9ESkAf6qUuhvALqXUcQBQSh0nop22HYnoTgB3AkBlbktq7Ltp\nlZuC7eOrN49ZFBxSWWrawyuLRM9q2djdtlr+SamF9RtHj6RhKzUpvJL5xFV/gfd//+3RJwBrYjId\n3WWj3/i87sKn01BPZGbrlOWsiny8c826deLpIhhHqz6pY72oYya5igB7eK4tLTEQGDvcGVsJU3ls\nOFHpccnoYZDNLdQz4TfPImWKfXMLRRY9iz27bfiTj2/GywPA5sMq+rSFUzK6fz7qcLUIeiT6fbhu\n+o1LulkpdR2AtwJ4NxH9kO+OSqm7lVLXK6WuL20sbjKIJJFfyyn3kugnHMz0SfrG1Jv0GzZoS+nb\njzAUiW7N29BFiK9DkVMgjsp1cOHz8OznO2Tdd1jXq9xMdtu4qDRU9JeHylJn4OGUPefsZ2el1LHw\n8yQR/TWAGwCcIKI9oTW/B8DJtOP4+Oiri/GZnYKXiS55/eFFoFvwtg7aQttlSX3AcN54HZuAmSJv\ns2xNK17fh1Me6D56/XWd0x6bETe6wBblqzf99KbI65kXOZsipz7Ye0UwmIcTmtlSIfzcVY/gs8+k\nRq+NLC5RT3qjKkJ4kyZvyRJCyVSPBDfR6v4mZr5bxcX9wK5vBtEtlUYZgR4E997FPaUeX70vusjr\nlnxjaznKX2PmmNeteQCRhW9OJqILfGW5HbPi2Wp3Rdi4wiu9v1feHYloBkBJKXU+XP4RAL8H4D4A\ntwP4YPj55dyt09D98fryqFjpQHrOmyLozt3awdTBOpb3r8a2ZfXP54VvYJtvda188wBw9dSL0fKp\n1ubYvKY7Kue6rhxNy972o8EN85Hn3oyLzQ0xYdeXp+sruPfwa52DxX718vvxkefeXOj3KRJXmoMr\np+fxuedfj3tf9ef42EuvjxKTAcWPCUibNUrH1U+kGmWs7AoNlkYZF14ZTCN48iaF6gIBoJ60Bxf3\nlFBZ7p0MfGVWxeqyv94WXgl0O1o5tbA+LaCJHmGz+XCnR+SBbmSN7rbxCZ8cpo9+F4C/JiI+zmeV\nUv+HiB4G8EUiugPA8wB+Ou8JTL+7LR7elb54LTF99ECvZZ8F3xz0usgzPv55c2i/HknCdXQfvbkP\nAGdopQv20Wex5G1CxZ15/Mm+d47T1i14XuZcKrYBWrb5SHV0cTdF8FMv3mwNFx0F9AFKnHBMT1B2\n3fYX8KvP/ziAtR/wxec7dnIOs7NLPeM6XAP/2E3Jrk891Np0wVSWeUBTfIJwc+KRyF+v5Yg3J/XW\nrXi27HU4hUFjWxWnri1hx+Pt2DYdFvik1MM22tNVuIdDppNb6JVSzwF4naX8DIDRNXNGhCJSFY8S\nWSI0BoEeWWMOzvFBjzyyvfnYZrpKwzYaNGtYYR58k5MNk6I6ws0OWN/JP4ZJVpEvgolKgeBj0Q8y\nlt721uFqU7+JzaaOVK0WvW9GSptVz+jW7cpiDXO7zidatjb3jU8SM/PBYJabYXq2fYDgbeHp07tw\n9fYTUdn22gU8djo+raDZbj6WS3RmaiuxfX7hkn+O3EP3nroOb9vxWJT//p6XXh/NXZvEPS+9Hm/Y\n/N1o/d5T10XLb9vxWKyM17lMX3dx76nrcOXGE5FLS9/v/557Zc81cSUl09/yksYOJJEm5vrvzJxI\nxIXNmgfsaYNttKbik3jXDC+jLZwS0NIHN1TkhmlN97aTLXh225idrv2I/LpKgSBkQ58asAhslu1x\n+A1fZ1yWvy2SJ20fIJ5SwRav7TpXFqsyT26YccDXlZYm9lktdFPkfehX5Hl7u9b9TKzbULFp/7JG\n2ax1ZE0SY2fR2wY8mVZzUqTLoCx63TdvxtJnteo5Vj7PfLG+I2PTknVtrjXw9PcuiVIgzO0KIls+\n+7pPRnX+54s/hpu3HMLfnAjie31cN2xBJrl6bKKRlJ9HnzAlDdeweka/LvyGsLAyhVdsOoXTzY0x\nt4i5bsPHVWOKrd6XYEbH+Dxw+Hg8eYv5CfT+r4oeU2BeVz0WPpqxLMQWLQZ0pwjU0eeo8BX4ckPF\nfPBJ6BZ9jy8+9NOblryemCyNYVn0oyH0e/epA3f8Wk+5Pqdj1nzzay30WbJXMv3kvDHhmyWv0Ju4\n/NUsfma4pC4cF5sbnPPF6sd1iQG3md9GfKOFbIPBkrhwMHBZlPZfjCZlMeeLdfnmzZzsPIMWXx99\nRi3GnGnLlhSOy4HekcdpmPXS1m1wuodBTqvYY8GHIcJRGo9mPC9UebmEbd/uzsbUqlM0KQjQTT6m\nU2koNOdKkXCzaDfnSqgtdO+rZpiYjMtsqYXrL7WtnbB5LPZotihjgJQt7YFPpM3XH/rtMRL6Aacp\nXovUBHweW2RQnjTFQDE+eiDZT6/7YYHeqBvd+uKHCVv3NnyEwhThpLquWbEif27YJtNKNNdN0sJQ\nzWikfuG8PzzGAEDPugs9MsXMQMqhrPxwZfj/tHCiG4VkrgO91ynrdWRcVnniPtpbq+6X1614/T7y\nteRtfvZ2ndAMLzVP5M3Lrn0qCdY9kCz0ZhhlXks+JvaWXDfio9cY5mCqokkbCWuz6pNCLnWKtuJs\nvlfOCJl1vzznyroPX5elRv8Cb3OFmGVFuEvMB3QSPnXMa5LnumbF9ZvOKvKujtQ00kR+WPQbO68z\n0hZ90uzr40Q/rhu+CVzWvb6dBZ4FS7fKGb1z1jarUqzdYXbH1lwLlYVKlBa2vFzqTtJxpIZyg9C4\nsoH6wcB9w8vtukKnFt8/ardhAerr+rmyoF8vK0bSMp5cOpYJVKNaa1nfbPR1Pp9rvl5rG7TRzD3r\neju1SWViy/q2LMe2nMu8ZqnX0EHafvrE9bpLhj91Nh7p9ac357oZIHnkK2Nzt5hlvN6qkzNmnrFa\n7ylum8py2+qj97Hkk/LcpOHrulkXFv16gJolIMcUgUCvb9x6bMQtL/M1XV/3eYVP2n9QuM6hGmUQ\net+G9OuSZumuheULaC4rx7akLse07ePCOMTKA8OJl3cx0hZ9v6RlxCz6XEX6513U53vFypyEhK1/\nnoWKfflTR6rRzFdAkIM9ZtUCMau6PdWxnm91VqG6GMyiZfs++mAw3p/34Te01blONKHz6pz9mlQX\nSs5tPvRMx5jydpQFV19BkRTrJyirAAAcBElEQVQyPzC/gWn/J9s6wxa2KzOsi7zpv2376QEY5lv9\nhkXqyUejw5a3bsHzpz65CHfk+rho8nTC9ivyVut+vfjok3LIrKWo23ClPzAHTpmvqaZQmqGVZphl\nY7f9/CyaALA6x3WDHxuLUuPKdvzVfbGK9lRwvpnvBuWc17tTA2aOBMLV2KlQP6m97p4krayMxs7e\nm4W/p/5g0ZfLy6XomuhtZ3h2Lt7mmz9odU5zBWjuAr1NsAgbw24m13q3HEY9WOuZ6Oczz23+Fmz1\nsnwXl5vEPJ5+TC53Td6ThG8/mCuFiTnKdXqe0JoCagvdNAamyLtcNja3zebDyurSAbL55FvTJafY\nF2HFF+mbZ8ZK6JNucltsvS2+fpAk5bdxWfk9KYstNzAMIQIC8S7Pdw+0uj84QXm+FvlxeXt1Ph4z\nbeYFaexUWJlVMeuqfrI79VqpiZ5p2PQyrsuTOuhhsYxZpq/zA6C62F3nNwau06nFz68/NGLfLUE4\nXW9Tejk1S4nrWesx/GZTXSxH38/MEm6+PfF35O9UXSRUF+119HoA/x/D/aIHaWCp622It6d7TH3d\n9v808anjwjVKlROSBZ8U5a/RrXZzQFOP9R2WcV1eri900JgrRZOIROe0+PsBxEbDJol8EVE2ef31\nSYyG0Kvep3m/nbBrPW1gFnwmSBnGcVyv0Dbyjm9IOn9Se/L8P/vJ+7+ecF3/UaEon7yexkD/XA+M\nhtBbKFJIBoXpS9StK5u/nut0raW4FaRbsi4Lqxq5XroumHIDqC7Wo3bUTwYWPFvcpqWk05zrzegX\n+45a+/UcIfp3ate6n/p1iR3H8v80/7e2ba46PmJkm5XMtu8gp5dk9O9RanYnkHfV4XpJ2211kraZ\nk9f7/i943efBn4Ztog8uZwuehZ0/eWRrWbPkTZJE21afy8xtruPY8tr01OnTmgf8UhbnYWSFHnDn\nnbeJaBJmh44tbDPLDzUSNM650QxErmqmQLVkf9XrmO3QBcBWbmun7YZsa56acqM7UET/DrZlE3Ob\nKfJ5yPt678LlEmrXuw9Hvkb6ur4P/5/0a5w0+bz+XVy/K/PBVvT3HgYu1wqAKPe7OUKV0wNzuW0U\nq2tuVr08KUbeHNjk8sObdbNQWeokum0Ad4hlHop234y00E9KHH0S/QpAlv2TRD3PMfoV/SIoUkDj\n4k9exze3p62vN0y3SxY3TN4BUM629Hm8UUpSlpWRFnqdfvyINquq54bUJgy2uSts6/qyTQCLsIBd\nsHXVmorfPKaVpZfp6z77mHXM9dpCvNyczaco0q5h7C3LItBZxdf1QEz7behtLeKhOmqY/9/aWWVY\n4/HBSEBXrLncTDBWbqjMgu7jptGjadbKF1+UNc8UadWPvNDn8dWb+3A0CAtCux5EiHCkCBAXE5uA\n2ywR/VVWFzx+ja0s9+5nCiMvN+fcvnSbmOo3nUtgzfKs+yTt72rLIHA9RHnd9fB17WNOMWdbd+Fr\nofo+ZG2Y+/jiOnbSOX33sdVjwTaFO2lkaatOiQnEetrhUcd2nqy4omrS3DWDpiixH32hjzqQun55\nsxPUuW+4jQW3K6ZcTtFNlWQh2+ae5G1Z1m3lvKx3RqXto+MSFNu++gPIdewsFr3reGn72NpltsNs\nT1J5mvgmfd+k9aTj8DR1rnbpVm70P24olBuI4sFt1i7vEz8PonrR7/Vsr6CVG73+7nY97hM3t/vu\nw9Z7/HyOjsuUlMD69rQ4dlu4pCu9QRpJfnZXZ2sekW9NlQsdFcsdtEOZSlAYLXytUFs9n7J+fK3j\nwqC+0yReq7wMwo1SxDHH2f/uw0gIPXXSfZrsfgF0FwclujwYH6vZ5bIwQ72EOP24OfI8PGz7mBYq\n4I7k4Dq83WbNpvmM22FiLN0iN4/RPVfvsUxr3KzjbreyRnJlOZbt2L77+PjSB+kP7zf+na12m/Ve\npNCPUo4bZmSEPun1n+HOP70szeXB2NwMPi4LYTTRRdY1e1DarEI2sfcRs9pCJ+YuMN0JzljsHC6H\nLD5qM79L3vP47u8TxuhyzSSdI09aAh/Wwvc+iiIPjIjQq1K6D1pfT/Oju/zWPhbkWot8lmnOxpGi\nQ+QGcfysx3ANtkkTOl9h89nHhutB4xOlYs6PmvTd0s7vu79L0IsUeL2T1bTkixb7QYt8+5bregsf\nuMdr35EQel+L3iw3BbwIP3LW13hbvaRXedu+w8QW7gb4f/dB4bIuXSRZpGn1fcp997E9BNLym/sK\n3aD924UKrMWCTzrHoFw+SSNa+xX5tbbebXPG+jISQp9E0Ra2j/81aT3LfnknJV5rkvy2aeKZRxjN\nbTYR8LEIXSKVJ/Wsz74++7hE2/fhYx4ja3ih78Mo6e3C5v5JaqdtH9/UAmtJEda7Pvq1iJQHOpzQ\nbBCkCj0RfRLAjwM4qZR6dVi2FcAXABwAcBjAzyilzhIRAfhjALcCWALwC0qp/I+hMSFJpIcp4OPM\nIF/nhclnraJo1sqq7zeW3sei/xSAjwL4jFZ2F4D7lVIfJKK7wvVfB/BWAFeEfzcC+Hj4OTL4WNij\nKM5J/ty01+S8+/jkDcljAZvbJlnEk/zePvtk2S+tvq8P3tUH4XO8QXWkpjHojlWOjS/SitfFuz1d\nHUh6YiZV6JVS/0hEB4zi2wDcEi5/GsCDCIT+NgCfUcG0Vd8kojki2qOUOl5Ug/OyVuKdxdXh8wrN\ny2k3puuVOQ1n/m3DddNvaJsw+vj2P6Ttk3oeyyjUpI5RW721GLGadw5YG6aAs7C7thdNXh/9LhZv\npdRxItoZll8C4AWt3tGwrEfoiehOAHcCQHXjlqFb0WnWrm/nXh4LztUeW8hemnWe1vFnrq9nAc8a\ntui77ns88zeT53eXBxZKr7oFvXmZoY36cmWpk5wVUtvGy+PmmrH53gct7jpFd8balM3661BK3Q3g\nbgCY3rEv1y/IvEn6cVmkCXSSNeMSZB/rPO01Pe2VeNwE2nwYchnQG+rXj5gWSdo1z9ou37ekYUSi\nDIoiUwxE+1rSArMwJ7labCkKiu5YTWMtRR7IL/Qn2CVDRHsAnAzLjwLYp9W7FMCxtINRx++10bzx\n+3FZmPv4Ro64RDrJsh5lf7QpvD5uJdu6WZYkzP1ErwiTQWSZh2KcJLDmdl3Ezf114de360JuO9ek\nCjyT99F+H4Dbw+XbAXxZK38XBdwEYHEU/PODhDskRYjiyPUQbKS5afo+fijkuqCb6+sRn/DKzyHo\neN1OREcB/DaADwL4IhHdAeB5AD8dVv8qgtDKQwjCK3/RpxGqlM8i78c37don6zGGha/lzWVJ+xR1\n7Ubl2vig+6ldy679gHwdhHlS4GbtdEw7xyA7M/Vr6L2PEZNuYhNoXcD1z1GmEEv+htf0lj3kNzKW\nggCZ4TKzbZ961a3vG3YzBkKWTt4som07xyhj3vxZRTErw84jLuRnHIQ7L30J/ree6Cn6urrnUaXU\n9Wm7jvzI2GFj6xi04RJp/hxlq9knrM1VnneihrQ6fQ9PHxGRt/mOTf+yECACPzhGQuhJuTtjB0EW\n0c6Tu0RfH5S1nSbAvnCyJ9t+rmPZwt3S9ukXUzBtURNmxEUSrg4+c911rLT99XLXd0gbhJN0Dp9o\nkrRr4nsNkr6H6/hm+3yjX5JgseSBRa4BRma5rZ7vvmnl48JIuG42bt2nXvvm9xZ+XJ8cKr4UIdi6\nFWyup7k2bPsU1R5BGDbjZM0PTfDH3XVTainUz/RevNZU2SloXL+xzZ0EyDf0MnMctIdA2oTalibV\ntpy1LE/71jNplq1ZnsV6XyvBslnMWd9iijj3Wn5noDdtQJro6nWyWuXjbsXrjITQD5px6KzUEaHO\nR17Bce3niupIq78W+LYpa52s555kS3xSRB4YEaFXlBBe5RhYEVkVSx1UltuJln0Sea3ztOOsle96\nFBmnm18YfXR/fNb8MJMk1v0wEkLvQ1K8bWuq7B2q5yParmMAgx/wMQzSOtF8ho+LuAuDgsV9ULna\nR5VS+JDqFPC9x0bo+8HW0elbd5RJ8xOnRTokhfiZQ8n5OMMcPi4IwPqx0lngI8Hv41gjIfSk7B1k\ng2CchHzYiIALwmQwEkJvI4vwZ8lEV8RAlSwJmJLOnTSxQdq5bcmbzGOmWd/jNIScSYuHNqMs9H3M\n9bT9bZg+Ypvv2Pd7mPuY7TTLXe0wj+eKMrHFnyfFpKdFrPhEtLja6WqX7fv2G/1SWlq1uj9c5aPG\nunLdjJMYrTVybQRBSGJshD4LaRa1Xq/oPNRpoyNdy2nHyFNnmKRZlbys17XVce2ThFnHdz1PFAev\n++xrfi/XPnmjSVxtS2prUvvT2pr3u2S9hnmsebbWbZ9AYCXrlnLJOIdZ19zuquuqb1rlZrts21zr\neZhIoXcxLLdFkmvJ9vAZF1xuAF5msgqvT50iRaHI/Yd1bCEOC6Pr01XfVZYmtOZ23/q2h5HtAVBa\nWh3/zthxwnWzZvHVjquwm9jC3vKEwIkACoPEtMxtlrzNgs5qSev1s+xrPoS4TUlvEVkRoRfWHBF2\nYdiYIupazyq2ev00d49PvaIYa6FPsq5t9YoYcJF0jFEf0OHjN7eRtb4gDBPTmh6kpZyXtW7D2s8S\nLIwdaZ18gjDqjIK4D5ORtujT4nZdlqVtvyznHHXLnHF1gqYJsQi3MMnYoljWO6Mh9B2VOaQsizgV\nlbUu7+CYtPNkGZhilpt1RLQFYTIpvfqq3sLeFPVWRkPoxwQz3tc2StLcnvZWopfblvXjudoj2PG1\n5HzioM1yW2y2WTetDWnx2Wnntx0/axt94r9d50yqb6vL2Pa3nacIJsma7zz5TO59Rej7oMhOXtex\nBUHIxySJfL+I0BeAa2Rf3tGE40aSBekzwtBmnfpauz5WpQ++A15s0RxJ5/EZOOMrSD6he7Y6PnWT\n6mWp7zMilMtd38fVjrQ3DsGNCL3QN2nilxTqZi6bZWk3ctK+IgD9k/caZn1o5D2m/I/9SA2vJKJP\nEtFJInpSK/sdInqRiB4P/27Vtn2AiA4R0UEi+tFBNVxYH8iNLAj942PRfwrARwF8xij/Q6XUH+gF\nRHQNgHcAeBWAvQC+TkSvVEqN7zj/dUoeN4ogCP1RuriMzswUSheXozJeL71sf+8Oz/kdN1XolVL/\nSEQHPNt5G4DPK6WaAL5PRIcA3ADgXzz3z8y45JReS9JEOUu2vdLSqoi8IKwRnZmp2KdePqyom/cQ\n0bsAPALg/UqpswAuAfBNrc7RsCw3LkFKSkFqMo4PAlcipqwdVbZ98nSqCYIwvuRNgfBxAC8HcC2A\n4wA+FJaTpa6yHYCI7iSiR4jokdXVizmbISQh1rggTAa6KycPuSx6pdQJXiaiTwD4Srh6FMA+reql\nAI45jnE3gLsBYHZ6r/IRJFfomE+Y2yiS9LbiSnfqClcTQReEwWDzm5vwdt3l4iPOpovGPGdaPV9y\nCT0R7VFKHQ9XfxIAR+TcB+CzRPRhBJ2xVwD4Vl8t9GAQI+qynJfPnWWUIa+b223HFhEXhLWHhdrl\nN9fFmOvaOlHTzmHrfLXtO9DOWCL6HIBbAGwnoqMAfhvALUR0LQK3zGEAvwwASqmniOiLAP4NQAvA\nu9cy4qYIwc8z0Md33VYmIi4Io4dpUevlSeu+2/Ics/X9I17Hs+ETdfNOS/GfJdT/fQC/n7tFA8R0\ng9is67SBPr7n0ZHwREEYL3xEfpyYyJGxLus767yOrmMV0R5BEIS1YiKF3oavW0dEWRCESWPdCD0j\nQi4IQlZGwW1TGWRnrCAIwihgRrnYQhr1uowewZI1THEUBJ4ZaGesIEwaNpEwy8wb3Ayjc+UjScMU\nHVuIXtIxfeqmtS2rWPYbw10UtrhyV9tsKQQY17Xg9VH73oxY9MJEkCRqLoHT6yYJnb5vmsjr+5jt\nSxrE4isMrmPY9vcVsrRjJcWA2x5wZiy37wMp7drb9kt74Lm+b158r90oWfOAWPTCAEiybJNei22C\nkbasH8vWBt8RgllE0zy/bcCLjVG7+fshKX47y7Vx7Ze0j+24vjHp/bw98TIfc9LCKF2I0Asjg+2m\nnMSbTuiPvAOR1jMi9OuAJCvaVZ7kwkhyC9is8rRlV3sFoSjy/A4nCRH6McWn407fZlt21clzfkEQ\nRhcR+jHAt3Mqb4eViLYgjD4SdTPh+Aq4CLYgTC4SdTOhpPnWBUEQfBChX0Ns4V28Lp2TgiAMChH6\nIZAl1lgQBKFfROgLJM+gDkEQhEGTd3LwdUXp4rJ1AA+Xmy4ZEXlBEEaJdWnR+/rGbQmfkibztS0L\ngiAMm3Up9P0gIi4IwrgxtkLfT1pR3sc3gZWIuyAIw0QtLaO8a2fvhnm//cdW6PMioi0IwnpjNIS+\n3fFOtsXltpSzIuKCIEwiND01ASNjy6XMybZE1AVBWE+Mv+vGYdELgiCsN9TSMmh6Cmop0ERebp84\nmfuYqXH0RLSPiB4goqeJ6Ckiem9YvpWIvkZE3ws/t4TlREQfIaJDRPQdIroud+sEQRDWOSz4/eAz\nYKoF4P1KqasB3ATg3UR0DYC7ANyvlLoCwP3hOgC8FcAV4d+dAD7edysFQRDWCTQ9FX3ycr+kCr1S\n6rhS6rFw+TyApwFcAuA2AJ8Oq30awNvC5dsAfEYFfBPAHBHtKaS1giAI64girHkgYwoEIjoA4AcA\nPARgl1LqOBA8DABwT8ElAF7QdjsalgmCIAgZWDOLPjoh0UYAXwLwPqXUuaSqljJlOd6dRPQIET2y\n0lnybYYgCIKQEa+oGyKqIhD5v1RK/VVYfIKI9iiljoeuGe4SPgpgn7b7pQCOmcdUSt0N4G4AmK3t\n7nkQCIIPHKHAy0A3SsFlDemvw2Zd1zHMcledJAvMdt4k0s7lqu+qo2832yKMJvr/qZ/wSp+oGwLw\nZwCeVkp9WNt0H4Dbw+XbAXxZK39XGH1zE4BFdvEIgiAI/hT1ECalko1pInoDgH8C8ASATlj8Gwj8\n9F8EcBmA5wH8tFLqpfDB8FEAbwGwBOAXlVKPJJ1jtrZb/btLf76f7yGMCLrFaP5IXdZmktVsksV6\nt1m0Pm1PK/Pdz+ecgyDN8k/C9hbBy67z+L4h+bRX6IWvoS2O/uvqnkeVUtenHSNV6NcCEfr1SZKY\nZ3FZuPYRhk+/Am4aDjZDIukBnWYQZDUG1hq9ff0I/WiMjBUEDf3Hzctpwm3bRxg+efoCxMIPKPJ3\nLEIvJOJysdg69lydfYIAZBOupIe97eFvO3a/BgPjcmEN0j1X9P0jQj8hZPEl2wRar8PYRubp5zE/\nfW8mQRgnXILuEn2f339aZFjRiNCPKD6ibNblZcb1wzQ/zf2SypLKBWGS8fnd+/r8++kwz4MI/TpH\nRFsQBkfS/bWW954I/ZBxhaK5Igz0/ZLWXWWCIKw/ROgHhE+npCnoPj5AQRDWJ+M/8ciY4jMs3qez\nRaJUBEFIo5+JR0ToPbF1cuoi7lrOclxBEIRBIELvSZ4wKBFxQRBGARH6AhBBFwRhlBGhT0FEXBCE\ncUeEPkSG8QuCMMpI1I0HaSloZRi/IAijjETdhKTFrOt1zLh1EXZBECaVsRJ6l3slT4IgEXZBENYL\nYyX0eRFRFwRhPTM2Qm9a7K4RqCLqgiAIcUZa6NNSCYi4C4IgpDOyQi/RL4IgCMUwGkLf6YigC4Ig\nDIjREHpBEAQhERkwJQiCMOH0M2CqVGA7BEEQhBEkVeiJaB8RPUBETxPRU0T03rD8d4joRSJ6PPy7\nVdvnA0R0iIgOEtGPDvILCIIgCMn4uG5aAN6vlHqMiDYBeJSIvhZu+0Ol1B/olYnoGgDvAPAqAHsB\nfJ2IXqmUahfZcEEQBMGPVIteKXVcKfVYuHwewNMALknY5TYAn1dKNZVS3wdwCMANRTRWEARByE4m\nHz0RHQDwAwAeCoveQ0TfIaJPEtGWsOwSAC9oux2F5cFARHcS0SNE9MhKR0IrBUEQBoW30BPRRgBf\nAvA+pdQ5AB8H8HIA1wI4DuBDXNWyu+opUOpupdT1SqnrN5SyT9MnCIIg+OEl9ERURSDyf6mU+isA\nUEqdUEq1lVIdAJ9A1z1zFMA+bfdLARwrrsmCIAhCFnyibgjAnwF4Win1Ya18j1btJwE8GS7fB+Ad\nRFQjopcBuALAt4prsiAIgpAFUqrHqxKvQPQGAP8E4AkAnbD4NwC8E4HbRgE4DOCXlVLHw31+E8Av\nIYjYeZ9S6m9TznEKwEUAp/N+kQlhO+QayDUIkOsg1wBIvwb7lVI70g6SKvRrBRE9opS6ftjtGCZy\nDeQaMHId5BoAxV0DGRkrCIIw4YjQC4IgTDijJPR3D7sBI4BcA7kGjFwHuQZAQddgZHz0giAIwmAY\nJYteEARBGABDF3oiekuY5fIQEd017PYMkjBVxEkielIr20pEXyOi74WfW8JyIqKPhNflO0R03fBa\nXhwJ2VDXzXUgojoRfYuIvh1eg98Ny19GRA+F1+ALRLQhLK+F64fC7QeG2f4iIaIyEf0rEX0lXF+P\n1+AwET0RZgF+JCwr9H4YqtATURnAxwC8FcA1AN4ZZr+cVD4F4C1G2V0A7ldKXQHg/nAdCK7JFeHf\nnQhSTkwCnA31agA3AXh3+D9fT9ehCeBNSqnXIRiL8hYiugnA/0KQEfYKAGcB3BHWvwPAWaXUKwD8\nYVhvUngvgkSJzHq8BgDwRqXUtVooZbH3g1JqaH8AfhDA32nrHwDwgWG2aQ2+8wEAT2rrBwHsCZf3\nADgYLv8pgHfa6k3SH4AvA/jh9XodAEwDeAzAjQgGxlTC8ujeAPB3AH4wXK6E9WjYbS/gu18aitib\nAHwFQZ6sdXUNwu9zGMB2o6zQ+2HYrhuvTJcTzi4VjigOP3liyIm/NkY21HV1HUKXxeMATgL4GoBn\nASwopVphFf17Rtcg3L4IYNvatngg/BGA/4HuiPttWH/XAAiyC/w9ET1KRHeGZYXeD8OeM9Yr0+U6\nZaKvjZkNNUipZK9qKRv766CCiXiuJaI5AH8N4GpbtfBz4q4BEf04gJNKqUeJ6BYutlSd2GugcbNS\n6hgR7QTwNSJ6JqFuruswbIteMl0CJzhBXPjJMwBP7LWxZUPFOrwOAKCUWgDwIIL+ijkiYuNL/57R\nNQi3zwJ4aW1bWjg3A/gJIjoM4PMI3Dd/hPV1DQAASqlj4edJBA/9G1Dw/TBsoX8YwBVhT/sGBFMQ\n3jfkNq019wG4PVy+HYHPmsvfFfay3wRgkV/lxhkiezZUrKPrQEQ7QkseRDQF4D8i6JB8AMDbw2rm\nNeBr83YA31Chg3ZcUUp9QCl1qVLqAIL7/htKqf+EdXQNAICIZiiYohVENAPgRxBkAi72fhiBjohb\nAXwXgY/yN4fdngF/188hmKRlFcGT+Q4Efsb7AXwv/Nwa1iUEEUnPIsgcev2w21/QNXgDglfN7wB4\nPPy7dT1dBwCvBfCv4TV4EsBvheWXI0jpfQjA/wZQC8vr4fqhcPvlw/4OBV+PWwB8ZT1eg/D7fjv8\ne4o1sOj7QUbGCoIgTDjDdt0IgiAIA0aEXhAEYcIRoRcEQZhwROgFQRAmHBF6QRCECUeEXhAEYcIR\noRcEQZhwROgFQRAmnP8PF/Jk2qpG164AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x167724ba9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(a)\n",
    "plt.imsave('分类后的深度图.png',a)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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f/8H3YEwLcOrvCcOsdPcz1KYo8HTTnaSAeX0a11C2v1z8wKSjV9Srnk3ddiOb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\noA+CIEicCPRBEASJ8xMjX0oPw7cAjgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17064a40908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[[ 0.12941177,  0.12941177,  0.13725491],\n",
       "        [ 0.14117648,  0.14117648,  0.14117648],\n",
       "        [ 0.14117648,  0.13725491,  0.12156863],\n",
       "        ..., \n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ]],\n",
       "\n",
       "       [[ 0.13333334,  0.13333334,  0.14117648],\n",
       "        [ 0.14509805,  0.14509805,  0.14509805],\n",
       "        [ 0.14509805,  0.14117648,  0.1254902 ],\n",
       "        ..., \n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ]],\n",
       "\n",
       "       [[ 0.14117648,  0.14117648,  0.14901961],\n",
       "        [ 0.15294118,  0.15294118,  0.15294118],\n",
       "        [ 0.14901961,  0.14509805,  0.12941177],\n",
       "        ..., \n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ],\n",
       "        [ 0.13333334,  0.13333334,  0.1254902 ]],\n",
       "\n",
       "       ..., \n",
       "       [[ 0.28235295,  0.29803923,  0.16078432],\n",
       "        [ 0.28235295,  0.29803923,  0.16078432],\n",
       "        [ 0.28235295,  0.29803923,  0.16862746],\n",
       "        ..., \n",
       "        [ 0.16470589,  0.17254902,  0.12156863],\n",
       "        [ 0.16078432,  0.16862746,  0.11764706],\n",
       "        [ 0.16078432,  0.16862746,  0.11764706]],\n",
       "\n",
       "       [[ 0.27843139,  0.29411766,  0.15686275],\n",
       "        [ 0.28235295,  0.29803923,  0.16078432],\n",
       "        [ 0.27843139,  0.29411766,  0.15686275],\n",
       "        ..., \n",
       "        [ 0.16078432,  0.16862746,  0.11764706],\n",
       "        [ 0.15294118,  0.16078432,  0.10980392],\n",
       "        [ 0.15294118,  0.16078432,  0.10980392]],\n",
       "\n",
       "       [[ 0.27843139,  0.29411766,  0.14901961],\n",
       "        [ 0.27843139,  0.29411766,  0.15686275],\n",
       "        [ 0.27843139,  0.29411766,  0.15686275],\n",
       "        ..., \n",
       "        [ 0.15686275,  0.16470589,  0.11372549],\n",
       "        [ 0.14901961,  0.15686275,  0.10588235],\n",
       "        [ 0.14509805,  0.15294118,  0.10196079]]], dtype=float32)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b=images[0]\n",
    "plt.imshow(b)\n",
    "plt.show()\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cLgM8z6sH2Dx48ADAo0U/BVo3JeHAWgGfg7LuHQ/dOT/+zvWP5+LFLOB6lw3b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\nQpi8OBBv1RHwhwO2QNU9mwmTuWxXVu/Znv7r9q2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x23e46be75f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c=infrareds[0]\n",
    "plt.imshow(c)\n",
    "plt.show()\n",
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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